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Paper Abstract and Keywords
Presentation 2020-11-17 10:20
R-GCN Based Function Inference for An Arithmetic Circuit
Yuichiro Fujishiro, Motoki Amagasaki, Masahiro Iida (Kumamoto Univ.), Hiroto Ito, Daisuke Ido (MITSUBISHI ELECTRIC ENGINEERING) VLD2020-21 ICD2020-41 DC2020-41 RECONF2020-40
Abstract (in Japanese) (See Japanese page) 
(in English) R-GCN (Relational Graph Convolutional Network) is a convolutional neural network model for graphs consisting of nodes and edges, and is characterized by its ability to input directed graphs. In our previous work, we proposed a method for functional inference of circuits by converting gate-level netlists into graphs and inputting them into R-GCN. As a result, we have realized functional inference in a combinatorial circuit consisting of simple arithmetic functions such as adder, subtractor, multiplier and multiplexer. In order to improve the generalizability of the method, this study proposes a method for function inference for higher-level circuit functions such as FIR and IIR filters and FFTs by using the inference results of arithmetic functions.
Keyword (in Japanese) (See Japanese page) 
(in English) R-GCN / netlist / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 234, VLD2020-21, pp. 60-65, Nov. 2020.
Paper # VLD2020-21 
Date of Issue 2020-11-10 (VLD, ICD, DC, RECONF) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF VLD2020-21 ICD2020-41 DC2020-41 RECONF2020-40

Conference Information
Committee VLD DC RECONF ICD IPSJ-SLDM  
Conference Date 2020-11-17 - 2020-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Design Gaia 2020 -New Field of VLSI Design- 
Paper Information
Registration To VLD 
Conference Code 2020-11-VLD-DC-RECONF-ICD-SLDM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) R-GCN Based Function Inference for An Arithmetic Circuit 
Sub Title (in English)  
Keyword(1) R-GCN  
Keyword(2) netlist  
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1st Author's Name Yuichiro Fujishiro  
1st Author's Affiliation Graduate School of Science and Technology, Kumamoto University (Kumamoto Univ.)
2nd Author's Name Motoki Amagasaki  
2nd Author's Affiliation Faculty of Advanced Science and Technology, Kumamoto University (Kumamoto Univ.)
3rd Author's Name Masahiro Iida  
3rd Author's Affiliation Faculty of Advanced Science and Technology, Kumamoto University (Kumamoto Univ.)
4th Author's Name Hiroto Ito  
4th Author's Affiliation MITSUBISHI ELECTRIC ENGINEERING COMPANY LIMITED (MITSUBISHI ELECTRIC ENGINEERING)
5th Author's Name Daisuke Ido  
5th Author's Affiliation MITSUBISHI ELECTRIC ENGINEERING COMPANY LIMITED (MITSUBISHI ELECTRIC ENGINEERING)
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Speaker
Date Time 2020-11-17 10:20:00 
Presentation Time 25 
Registration for VLD 
Paper # IEICE-VLD2020-21,IEICE-ICD2020-41,IEICE-DC2020-41,IEICE-RECONF2020-40 
Volume (vol) IEICE-120 
Number (no) no.234(VLD), no.235(ICD), no.236(DC), no.237(RECONF) 
Page pp.60-65 
#Pages IEICE-6 
Date of Issue IEICE-VLD-2020-11-10,IEICE-ICD-2020-11-10,IEICE-DC-2020-11-10,IEICE-RECONF-2020-11-10 


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